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BMCBI
2010
132views more  BMCBI 2010»
15 years 3 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
110
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IJMI
2007
86views more  IJMI 2007»
15 years 3 months ago
Using argumentation to extract key sentences from biomedical abstracts
s from Biomedical Abstracts Patrick Rucha , Celia Boyer c , Christine Chichesterb , Imad Tbahritiab Antoine Geissbühlera , Paul Fabrya , Julien Gobeilla , Violaine Pilletab , Diet...
Patrick Ruch, Célia Boyer, Christine Chiche...
164
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SSPR
2004
Springer
15 years 9 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
156
Voted
ANNPR
2006
Springer
15 years 7 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
146
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APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 5 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won